Module also offered within study programmes:
General information:
Name:
Evolutionary dynamics
Course of study:
2016/2017
Code:
JBF-3-015-s
Faculty of:
Physics and Applied Computer Science
Study level:
Third-cycle studies
Specialty:
-
Field of study:
Biophysics
Semester:
0
Profile of education:
Academic (A)
Lecture language:
Polish
Form and type of study:
Full-time studies
Course homepage:
 
Responsible teacher:
prof. dr hab. Kułakowski Krzysztof (kulakowski@fis.agh.edu.pl)
Academic teachers:
dr hab. inż. Krawczyk Małgorzata (krawczyk@fis.agh.edu.pl)
prof. dr hab. Kułakowski Krzysztof (kulakowski@fis.agh.edu.pl)
Module summary

Celem przedmiotu jest nabycie umiejętności stosowania opisu modelowego do zjawisk ewolucyjnych.

Description of learning outcomes for module
MLO code Student after module completion has the knowledge/ knows how to/is able to Connections with FLO Method of learning outcomes verification (form of completion)
Skills
M_U001 Ability to define and solve problems related with evolutionary game theory BF3A_U01 Execution of laboratory classes
M_U002 Ability to translate a scientific problem into a computer code BF3A_U01 Completion of laboratory classes
Knowledge
M_W001 Understands problems formulated in terms of evolutionary game theory BF3A_W01, BF3A_U01 Examination
M_W002 Ability to explain concepts related to evolutionary game theory, using appropriate mathematical tools BF3A_W01 Examination
FLO matrix in relation to forms of classes
MLO code Student after module completion has the knowledge/ knows how to/is able to Form of classes
Lecture
Audit. classes
Lab. classes
Project classes
Conv. seminar
Seminar classes
Pract. classes
Zaj. terenowe
Zaj. warsztatowe
Others
E-learning
Skills
M_U001 Ability to define and solve problems related with evolutionary game theory - - + - - - - - - - -
M_U002 Ability to translate a scientific problem into a computer code - - - - - - - - - - -
Knowledge
M_W001 Understands problems formulated in terms of evolutionary game theory + - - - - - - - - - -
M_W002 Ability to explain concepts related to evolutionary game theory, using appropriate mathematical tools - - - - - - - - - - -
Module content
Lectures:

What Evolution Is
Fitness Landscapes and Sequence Spaces
Evolutionary Games
Prisonners of the Dilemma
Finite populations
Games In Finite Populations
Evolutionary Graph Theory
Spatial Games
HIV Infection
Evolution of Virulence
Evolutionary Dynamics of Cancer
Language Evolution

Laboratory classes:

Applications of graphs, automata and nonlinear equations in evolutionary game theory

Student workload (ECTS credits balance)
Student activity form Student workload
Summary student workload 90 h
Module ECTS credits 3 ECTS
Examination or Final test 2 h
Participation in lectures 30 h
Completion of a project 30 h
Realization of independently performed tasks 28 h
Additional information
Method of calculating the final grade:

Warunkiem przystąpienia do egzaminu jest zaliczenie ćwiczeń na notę nie mniejszą niż 3.0.
Ocena końcowa jest średnią z noty z ćwiczeń i noty z egzaminu.

The condition to approach to the exam is the credit for exercises at least 3.0.
The final grade is the average of marks for exercises and exam.

Prerequisites and additional requirements:

Znajomość przynajmniej jednego języka programowania (C, C++, Java, Python).

Recommended literature and teaching resources:

M. Nowak, Evolutionary Dynamics
P. Glendinning, Stability, Instability and Chaos
K. Sigmund, The Calculus of Selfishness
J. D. Murray, Mathematical Biology I, II

Scientific publications of module course instructors related to the topic of the module:

1. D.Stauffer and K.Kułakowski, Why everything gets slower?, TASK Quarterly 7 (2003) 257.
2. J.Karpińska, K.Malarz and K.Kułakowski, How pairs of partners emerge in an initially fully connected society, Int. J. Mod. Phys. C 15 (2004) 1227.
3. K.Kułakowski, P.Gawroński and P.Gronek, The Heider balance – a continuous approach, Int. J. Mod. Phys. C. 16 (2005) 707.
4. P.Gawroński, P.Gronek and K.Kułakowski, The Heider balance and social distance, Acta Phys. Pol. B 36 (2005) 2549.
5. K.Kułakowski, How political parties adjust to fixed voter opinions, Int. J. Mod. Phys. C 16 (2005) 1587.
6. K. Kułakowski, Cooperation and defection in ghetto, Int. J. Mod. Phys. C 17 (2006) 287.
7. K.Malarz, D.Stauffer and K.Kułakowski, Memory effect in the Bonabeau model in a fully connected graph, Eur. Phys. J. B 50 (2006) 195.
8. K. Malarz, Z.Szvetelszky, B.Szekfu and K.Kułakowski, Gossip in random networks, Acta Phys. Pol. B. 37 (2006) 3049.
9. M. Waśko and K.Kułakowski, Efficiency of pair formation in a model society, Acta Phys. Pol. B. 37 (2006) 3171.
10. M. Wołoszyn, D. Stauffer and K. Kułakowski, Phase transitions in Nowak-Sznajd opinion dynamics, Physica A 378 (2007) 453
11. K.Kułakowski, Some recent attempts to simulate the Heider balance problem, Computing in Science and Engineering 9, July/August 2007, 86.
12. P. Gawroński and K. Kułakowski , A numerical trip to social psychology: long-living states of cognitive dissonance, LNCS 4490 (2007) 43.
13. M. Wołoszyn, D. Stauffer and K. Kułakowski, Order-disorder phase transition in a cliquey social network, Eur. Phys. J. B. 57 (2007) 331.
14. D. Stauffer and K. Kułakowski, Simulation of majority rule disturbed by power-law noise, J. Stat. Mech. (2008) P04021
15. K. Kułakowski and M. Nawojczyk, The Galam model of minority opinion spreading and the marriage gap, Int. J. Mod. Phys. C 19 (2008) 611.
16. K. Kułakowski, Cops or robbers – a bistable society, Int. J. Mod. Phys. C 19 (2008) 1105.
17. K. Kułakowski, Opinion polarization in the Receipt-Accept-Sample model, Physica A 388 (2009) 469.
18. A. Dydejczyk, K. Kułakowski and M. Rybak, The norm game – how a norm fails, LNCS 5545 (2009) 835.
19. K. Kułakowski, The norm game – punishing enemies and not friends, Journal of Economic Interaction and Coordination 4 (2009) 27.
20. K. Kułakowski and P. Gawroński, To cooperate or to defect? Altruism and reputation, Physica A 388 (2009) 3581.
21. M. Rybak, A. Dydejczyk and K. Kułakowski, The norm game on a model network: a critical line, LNAI 5796 (2009) 565.
22. K. Malarz and K. Kułakowski, Indifferents as an interface between Contra and Pro, Acta Phys. Pol. A 117 (2010) 695.
23. M. J. Krawczyk, K. Malarz, R. Korff and K. Kułakowski, Communication and trust in the bounded confidence model, LNAI 6421 (2010) 90.
24. K. Kułakowski, M. J. Krawczyk and P. Gawroński, Hate: no choice. Agent simulations, edited by Carol T. Lockhardt, NOVA Sci. Publ., NY 2010, pp. 137-157.
25. K. Malarz, P. Gronek and K. Kułakowski, The Zaller-Deffuant model of public opinion, JASSS 14, Issue 1 (2011).
26. M. J. Krawczyk, L. Muchnik, A. Mańka-Krasoń and K. Kułakowski, Line graphs as social networks, Physica A 390 (2011) 2611.
27. K. Malarz, R. Korff, K. Kułakowski, Norm breaking in a queue—athermal phase transition, IJMPC 22 (2011) 719.
28. K. Malarz and K. Kułakowski, Bounded confidence model: addressed information maintain diversity of opinions, Acta Phys. Pol. A 121 (2012) B86.
29. P. Gawroński, K. Malarz, M. J. Krawczyk, J. Malinowski, J. Wąs, A. Kupczak, W. Sikora, J. W. Kantelhardt and K. Kułakowski, Strategies in crowd and crowd ordering, Acta Phys. Pol. A 123 (2013) 522.
30. M. J. Krawczyk, A. Dydejczyk and K. Kułakowski, The Simmel effect and babies’ names, Physica A 395 (2014) 384.
31. K. Malarz, K. Kułakowski, Mental ability and common sense in an artificial society, Europhysics News 45 /4 (2014) 20.
32. P. Gawroński, M. Nawojczyk, K. Kulakowski, Opinion formation in an open system and the spiral of silence, Acta Phys. Pol. A 127 (2015) A-45.
33. K. Kułakowski, K. Malarz, M. J. Krawczyk, Heavy context dependence – decisions of underground soldiers, Proc 29th European Conf. on Modelling and Simulation, Albena, V. M. Mladenov, P. Georgieva, G. Spasov, G. Petrova (Eds.)
34. S. Wongkaew, M. Caponigro, K. Kułakowski, A. Borzi, On the control of the Heider balance model, Eur. Phys. J. Special Topics 224 (2015) 3325.
35. K. Malarz, A. Kowalska-Styczeń, K. Kułakowski, Perspective research ‘human and work’ in artificial working group modeled by bi-layer cellular automaton with hysteretic rule, SIMULATION: Transactions of the Society for Modeling and Simulation International 92 (2016) 179.
36. K. Malarz, K. Kułakowski, Game of collusions, Physica A 457 (2016) 377.
37. F. Hassanibesheli, L. Hedayatifar, P. Gawroński, M. Stojkow, D. Żuchowska-Skiba and K. Kułakowski, Gain and loss of esteem, direct reciprocity and Heider balance, Physica A 468 (2017) 334.
38. M. J. Krawczyk, K. Kułakowski, Paradox of integration, Physica A 468 (2017) 409.

Additional information:

Przedmiot ruszy w 2018 lub 2019 roku. Przewidziany na semestr letni.